Governments worldwide are increasingly deploying AI agents to improve public services, automate workflows, and enhance decision-making. These initiatives span areas such as citizen services, taxation, healthcare, and national security.
The United States has been at the forefront, with federal and state agencies integrating AI-driven virtual assistants and automation tools. Agencies like the IRS and Department of Veterans Affairs are using AI agents to handle customer queries, process claims, and improve operational efficiency. The government has also supported AI adoption through initiatives such as the National AI Initiative.
In the United Kingdom, AI agents are being deployed across public services to streamline citizen interactions. The Government Digital Service (GDS) has explored AI chatbots to improve access to information on platforms like GOV.UK, helping users navigate services more efficiently while reducing administrative burdens.
China has aggressively integrated AI agents into governance, particularly in smart cities. AI-powered systems are used for traffic management, surveillance, and public service delivery. Local governments deploy AI assistants for administrative processing and citizen engagement, supported by strong central government backing for AI innovation.
In Singapore, AI agents play a central role in its Smart Nation strategy. Government agencies use AI chatbots and virtual assistants to provide personalized services, including healthcare advice, tax filing support, and municipal services. Singapore emphasizes responsible AI deployment with strong governance frameworks.
The India has also begun deploying AI agents in various public sectors. Government bodies are using AI chatbots for citizen grievance redressal, digital assistants for agricultural advisories, and AI tools for language translation to improve accessibility across diverse populations.
In Estonia, known for its advanced digital governance, AI agents are integrated into e-government platforms. The country’s “KrattAI” initiative envisions a network of AI assistants that proactively deliver services, automate bureaucratic processes, and enable seamless interaction between citizens and the state.
A report by Gartner highlights a rapid shift toward AI-driven governance, predicting that at least 80 percent of governments will deploy AI agents by 2028 to automate routine decision-making and improve service delivery.
The push comes as public sector CIOs face increasing pressure to integrate advanced AI capabilities such as multimodal and agentic systems. However, adoption remains constrained by structural challenges, with 41 percent of government organizations citing siloed strategies and 31 percent pointing to legacy systems as key barriers, based on a 2025 global survey, Daniel Nieto, Sr. Director Analyst at Gartner, said.
The report emphasizes that traditional AI governance models, focused on algorithms and data, are no longer sufficient. Governments are now moving toward decision intelligence, which prioritizes how decisions are designed, executed, and audited. This shift is critical for ensuring transparency, fairness, and accountability in automated public services.
Building citizen trust is emerging as a central objective, with 39 percent of respondents linking AI investments to improved service quality and satisfaction. To support this, Gartner forecasts that by 2029, 70 percent of government agencies will require explainable AI and human oversight for decisions that affect citizens, ensuring systems remain transparent and accountable.
Citizen experience is also becoming a key measure of AI success, with half of respondents ranking it among their top priorities. As AI enables more proactive and personalized services, direct interactions with government may decline, making trust in automated systems essential. Decision intelligence is expected to play a major role in enabling governments to deliver more consistent, efficient, and citizen-centric services while maintaining public confidence.
Overall, governments deploying AI agents are focusing on improving efficiency, reducing costs, and enhancing citizen experience. However, these efforts also raise concerns around data privacy, transparency, and ethical AI use, prompting many countries to establish regulatory frameworks alongside deployment.
RAJANI BABURAJAN
